This is an ambitious text which seeks to give a comprehensive treatment of the family of statistical methods deriving from the general linear statistical model. It attempts to develop appreciation of the use of these methods in geography at a level following on from existing introductory texts on this subject. The early chapters (1-3) are concerned with developing a deeper understanding of the "why" of statistical methods, using especially the concepts of simple functional relations, analysis of variance, and simple and multiple regression. Later chapters are concerned with further developments of the general linear model: analysis of variance for complex relationships (Chapter 4), principal component analysis and factor analysis (Chapter 5), canonical correlation (Chapter 6), classification techniques (Chapter 7), discriminant analysis (Chapter 8), and the specific problems of geographical data (Chapter 9) such as spatial autocorrelation, and data in percentage, ordinal and dichotomous form. A short but useful bibliography guides the reader to more detailed texts and to geographical research papers. 

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